updated defaults test, /close #299 on test success

mlair/plotting/data_insight_plotting.py

@@ -824,14 +824,14 @@ class PlotPeriodogram(AbstractPlotClass):  # pragma: no cover
         plt.close('all')
 
 
-def f_proc(var, d_var):
+def f_proc(var, d_var):  # pragma: no cover
     var_str = str(var)
     t = (d_var.datetime - d_var.datetime[0]).astype("timedelta64[h]").values / np.timedelta64(1, "D")
     f, pgram = LombScargle(t, d_var.values.flatten(), nterms=1).autopower()
     return var_str, f, pgram
 
 
-def f_proc_2(g, m, pos, variables_dim, time_dim):
+def f_proc_2(g, m, pos, variables_dim, time_dim):  # pragma: no cover
     raw_data_single = dict()
     if m == 0:
         d = g.id_class._data
@@ -847,7 +847,7 @@ def f_proc_2(g, m, pos, variables_dim, time_dim):
     return raw_data_single
 
 
-def f_proc_hist(data, variables, n_bins, variables_dim):
+def f_proc_hist(data, variables, n_bins, variables_dim):  # pragma: no cover
     res = {}
     bin_edges = {}
     interval_width = {}

test/test_configuration/test_defaults.py

@@ -68,4 +68,4 @@ class TestAllDefaults:
         assert DEFAULT_PLOT_LIST == ["PlotMonthlySummary", "PlotStationMap", "PlotClimatologicalSkillScore",
                                      "PlotTimeSeries", "PlotCompetitiveSkillScore", "PlotBootstrapSkillScore",
                                      "PlotConditionalQuantiles", "PlotAvailability", "PlotAvailabilityHistogram",
-                                     "PlotSeparationOfScales"]
+                                     "PlotDataHistogram"]